Career mobility at TechWolf

Eniko Toth-Bagi
September 11, 2023
3 min read

The story of Ophélie who transitioned into a new role in sales operations.

What’s your background and how did you join TechWolf?

I studied Business Engineering and Data Analytics at the University of Ghent. During my studies, I heard about TechWolf and started following the three founders.

Shortly after my graduation, I decided to pursue a Master’s degree in Teaching (Economics) and while working at the University of Ghent, I met someone who wrote about TechWolf for her PhD.

Without knowing exactly what I wanted to do - I applied and got a role. Starting out as a Sales Associate I was able to get a good understanding of our product, the market we’re selling into, and the needs of our customers.

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What made you switch to your current role?

After a couple of years at TechWolf, I realised I wanted to use my analytical background more, and when Dan, our VP of Sales, joined, he quickly noticed that I had the skills for a role the company was building in sales operations.

This is how my new role was created, and my focus is both to help Dan with sales operations and Jonathan, our VP of Finance, with revenue operations. This role means that I can use the skills that I learned during my degrees and do something I love, work with operations, processes, and data.


What are your main learnings from this experience?

At TechWolf, we practice what we preach. When I asked to explore a new role, leadership heard me immediately, and we created a role that mapped my skills to what the business needed in this area. We’re now five months in, and I couldn’t be happier. I get to do a role that was tailored for me - using all my skills and strengths.

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Using AI while interviewing at Techwolf

At TechWolf, we see generative AI as part of the modern toolkit — and we expect candidates to treat it that way too. We love it when people use AI to take their thinking to the next level, rather than to replace it.You are welcome to use tools like ChatGPT, Claude, or others during our interview process, especially in take-home assignments or technical exercises. We encourage you to bring your full toolkit — and that includes AI — as long as it reflects your own thinking, decisions and creativity.We don’t see AI as replacing your skills. Instead, we’re interested in how you use it: to brainstorm ideas, speed up iteration, validate your thinking, or unlock new ways of approaching a challenge. Great candidates show judgment in when to rely on AI, how to adapt its output, and where to go beyond it.

What we’re looking for:

Our interviews are designed to understand how you think, solve problems, and express ideas. Using AI in a way that amplifies those things — not masks them — is encouraged.

What to avoid:

We ask that you don’t submit AI-generated work without review, or present answers that you can’t fully explain. We’re not testing the model — we’re getting to know you, your skills, and your potential. If there are cases where we don’t want you to use AI for something, we’ll tell you ahead of the interview being booked.In short: use AI as you would on the job — as a smart assistant, not a stand-in.

Example: Programming with AI

In a coding challenge, you’re welcome to use generative AI to support your workflow — just like you might in a real development environment. For instance, you might use AI to quickly generate boilerplate code, look up syntax, or get a first-pass solution that you then adapt and debug collaboratively. What we’re interested in is your ability to reason through trade-offs, communicate clearly, think about complexity and iterate effectively — not whether you memorized the syntax perfectly. If using AI helps you stay in flow and focus on higher-level problem-solving, we consider that a strength. There could be some challenges where we won’t allow you to use AI - in that case we’ll tell you in advance, and will tell you why.

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